These are my go-to libraries for Python data crunching.

JFrog says six malicious npm packages used hidden install-time execution, JSONKeeper fetches, and sandbox checks to enable remote access.

Are you a Python-savvy Data Analyst eager to make a tangible impact within a dynamic FMCG company in Utrecht? Join our client's Research & Innovation team, where you'll be instrumental in transforming ...

Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...

MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Anthropic on Tuesday launched Claude Science, an AI ​research workbench, designed to help scientists streamline research, ...

End-to-end measurement data analysis with FAMOS and ASAMCommander based on ASAM ODS – no file export, no proprietary plugins, and with complete metadata imc Test & Measurement and HighQSoft® have ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Federal funding for libraries is under severe threat. In this webinar, ALA policy experts will share how we are fighting back, how library supporters across the country can engage with their members ...